#include <vpdfl_mixture.h>
Inheritance diagram for vpdfl_mixture:
Definition at line 25 of file vpdfl_mixture.h.
Public Member Functions | |
| vpdfl_mixture () | |
| Dflt ctor. | |
| vpdfl_mixture (const vpdfl_mixture &) | |
| Copy ctor. | |
| vpdfl_mixture & | operator= (const vpdfl_mixture &) |
| Copy operator. | |
| virtual | ~vpdfl_mixture () |
| Destructor. | |
| virtual double | operator() (const vnl_vector< double > &x) const |
| Probability density at x. | |
| virtual double | log_p (const vnl_vector< double > &x) const |
| Log of probability density at x. | |
| virtual void | gradient (vnl_vector< double > &g, const vnl_vector< double > &x, double &p) const |
| Gradient of PDF at x. | |
| virtual void | nearest_plausible (vnl_vector< double > &x, double log_p_min) const |
| Not Yet Implemented. | |
| void | init (const vpdfl_pdf_base &comp_type, unsigned n) |
| Initialise to use n components of type comp_type. | |
| virtual vpdfl_sampler_base * | new_sampler () const |
| Return instance object for this PDF. | |
| unsigned | n_components () const |
| Number of components in mixture. | |
| double | weight (unsigned i) |
| Get ith weight. | |
| const vcl_vector< double > & | weights () const |
| Array of weights. | |
| vcl_vector< double > & | weights () |
| Array of weights. | |
| unsigned | nearest_comp (const vnl_vector< double > &x) const |
| Return index of component nearest to x. | |
| void | set (const vcl_vector< vpdfl_pdf_base * > components, const vcl_vector< double > &weights) |
| Set the contents of the mixture model. | |
| void | add_component (const vpdfl_pdf_base &comp) |
| Add a component to current model. | |
| void | clear () |
| Remove all components cleanly. | |
| const vpdfl_pdf_base & | component (unsigned i) const |
| Get ith component. | |
| vcl_vector< vpdfl_pdf_base * > & | components () |
| Access to components - for use by builders. | |
| const vcl_vector< vpdfl_pdf_base * > & | components () const |
| Access to components - for use by builders. | |
| void | set_mean_and_variance (vnl_vector< double > &m, vnl_vector< double > &v) |
| Set the whole pdf mean and variance values. | |
| virtual bool | is_valid_pdf () const |
| Return true if the object represents a valid PDF. | |
| short | version_no () const |
| Version number for I/O. | |
| virtual vcl_string | is_a () const |
| Name of the class. | |
| virtual bool | is_class (vcl_string const &s) const |
| Does the name of the class match the argument?. | |
| virtual vpdfl_pdf_base * | clone () const |
| Create a copy on the heap and return base class pointer. | |
| virtual void | print_summary (vcl_ostream &os) const |
| Print class to os. | |
| virtual void | b_write (vsl_b_ostream &bfs) const |
| Save class to binary file stream. | |
| virtual void | b_read (vsl_b_istream &bfs) |
| Load class from binary file stream. | |
| const vnl_vector< double > & | mean () const |
| Mean of distribution. | |
| const vnl_vector< double > & | variance () const |
| Variance of each dimension. | |
| int | n_dims () const |
| Number of dimensions. | |
| virtual int | n_peaks () const |
| Number of peaks of distribution. | |
| virtual const vnl_vector< double > & | peak (int) const |
| Position of the i'th peak. | |
| virtual void | gradient_logp (vnl_vector< double > &g, const vnl_vector< double > &x) const |
| Gradient and value of log(p(x)) at x. | |
| virtual double | log_prob_thresh (double pass_proportion) const |
| Compute threshold for PDF to pass a given proportion. | |
Protected Member Functions | |
| void | set_mean (const vnl_vector< double > &m) |
| void | set_variance (const vnl_vector< double > &v) |
Private Member Functions | |
| void | delete_stuff () |
Private Attributes | |
| vcl_vector< vpdfl_pdf_base * > | component_ |
| vcl_vector< double > | weight_ |
| vnl_vector< double > | ws_ |
| Workspace so we don't have to keep creating vectors. | |
| vpdfl_mixture::vpdfl_mixture | ( | ) |
| vpdfl_mixture::vpdfl_mixture | ( | const vpdfl_mixture & | ) |
| vpdfl_mixture::~vpdfl_mixture | ( | ) | [virtual] |
| void vpdfl_mixture::delete_stuff | ( | ) | [private] |
Definition at line 61 of file vpdfl_mixture.cxx.
| vpdfl_mixture & vpdfl_mixture::operator= | ( | const vpdfl_mixture & | ) |
| double vpdfl_mixture::operator() | ( | const vnl_vector< double > & | x | ) | const [virtual] |
Probability density at x.
Reimplemented from vpdfl_pdf_base.
Definition at line 314 of file vpdfl_mixture.cxx.
| double vpdfl_mixture::log_p | ( | const vnl_vector< double > & | x | ) | const [virtual] |
Log of probability density at x.
Implements vpdfl_pdf_base.
Definition at line 321 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::gradient | ( | vnl_vector< double > & | g, | |
| const vnl_vector< double > & | x, | |||
| double & | p | |||
| ) | const [virtual] |
| void vpdfl_mixture::nearest_plausible | ( | vnl_vector< double > & | x, | |
| double | log_p_min | |||
| ) | const [virtual] |
Not Yet Implemented.
Compute nearest point to x which has a density above a threshold If log_p(x)>log_p_min then x unchanged. Otherwise x is moved (typically up the gradient) until log_p(x)>=log_p_min.
| x | This may be modified to the nearest plausible position. | |
| log_p_min | lower threshold for log_p(x) |
Implements vpdfl_pdf_base.
Definition at line 402 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::init | ( | const vpdfl_pdf_base & | comp_type, | |
| unsigned | n | |||
| ) |
Initialise to use n components of type comp_type.
Clones taken by comp_type
Definition at line 87 of file vpdfl_mixture.cxx.
| vpdfl_sampler_base * vpdfl_mixture::new_sampler | ( | ) | const [virtual] |
Return instance object for this PDF.
Object is created on heap. Caller responsible for deletion.
Implements vpdfl_pdf_base.
Definition at line 77 of file vpdfl_mixture.cxx.
| unsigned vpdfl_mixture::n_components | ( | ) | const [inline] |
| double vpdfl_mixture::weight | ( | unsigned | i | ) | [inline] |
| const vcl_vector<double>& vpdfl_mixture::weights | ( | ) | const [inline] |
| vcl_vector<double>& vpdfl_mixture::weights | ( | ) | [inline] |
Array of weights.
Warning care must be taken to ensure consistency when modifying weights Warning. Use weight(i) where possible
Definition at line 87 of file vpdfl_mixture.h.
| unsigned vpdfl_mixture::nearest_comp | ( | const vnl_vector< double > & | x | ) | const |
| void vpdfl_mixture::set | ( | const vcl_vector< vpdfl_pdf_base * > | components, | |
| const vcl_vector< double > & | weights | |||
| ) |
Set the contents of the mixture model.
Clones are taken of all the data, and the class will be responsible for their deletion.
Definition at line 131 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::add_component | ( | const vpdfl_pdf_base & | comp | ) |
Add a component to current model.
Clone taken of comp
Definition at line 164 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::clear | ( | ) |
| const vpdfl_pdf_base& vpdfl_mixture::component | ( | unsigned | i | ) | const [inline] |
| vcl_vector<vpdfl_pdf_base*>& vpdfl_mixture::components | ( | ) | [inline] |
Access to components - for use by builders.
Care must be taken to ensure consistency when modifying Use component(i) where possible
Definition at line 109 of file vpdfl_mixture.h.
| const vcl_vector<vpdfl_pdf_base*>& vpdfl_mixture::components | ( | ) | const [inline] |
Access to components - for use by builders.
Use component(i) where possible
Definition at line 113 of file vpdfl_mixture.h.
| void vpdfl_mixture::set_mean_and_variance | ( | vnl_vector< double > & | m, | |
| vnl_vector< double > & | v | |||
| ) |
Set the whole pdf mean and variance values.
Components and Weights should already be correct so that the error checking can work. define NDEBUG to turn off error checking.
Definition at line 216 of file vpdfl_mixture.cxx.
| bool vpdfl_mixture::is_valid_pdf | ( | ) | const [virtual] |
Return true if the object represents a valid PDF.
This will return false, if n_dims() is 0, for example just ofter default construction.
Reimplemented from vpdfl_pdf_base.
Definition at line 196 of file vpdfl_mixture.cxx.
| short vpdfl_mixture::version_no | ( | ) | const |
Version number for I/O.
Reimplemented from vpdfl_pdf_base.
Definition at line 239 of file vpdfl_mixture.cxx.
| vcl_string vpdfl_mixture::is_a | ( | ) | const [virtual] |
Name of the class.
Reimplemented from vpdfl_pdf_base.
Definition at line 225 of file vpdfl_mixture.cxx.
| bool vpdfl_mixture::is_class | ( | vcl_string const & | s | ) | const [virtual] |
Does the name of the class match the argument?.
Reimplemented from vpdfl_pdf_base.
Definition at line 232 of file vpdfl_mixture.cxx.
| vpdfl_pdf_base * vpdfl_mixture::clone | ( | ) | const [virtual] |
Create a copy on the heap and return base class pointer.
Implements vpdfl_pdf_base.
Definition at line 246 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::print_summary | ( | vcl_ostream & | os | ) | const [virtual] |
| void vpdfl_mixture::b_write | ( | vsl_b_ostream & | bfs | ) | const [virtual] |
Save class to binary file stream.
Implements vpdfl_pdf_base.
Definition at line 267 of file vpdfl_mixture.cxx.
| void vpdfl_mixture::b_read | ( | vsl_b_istream & | bfs | ) | [virtual] |
Load class from binary file stream.
Implements vpdfl_pdf_base.
Definition at line 278 of file vpdfl_mixture.cxx.
| void vpdfl_pdf_base::set_mean | ( | const vnl_vector< double > & | m | ) | [inline, protected, inherited] |
| void vpdfl_pdf_base::set_variance | ( | const vnl_vector< double > & | v | ) | [inline, protected, inherited] |
Definition at line 35 of file vpdfl_pdf_base.h.
| const vnl_vector<double>& vpdfl_pdf_base::mean | ( | ) | const [inline, inherited] |
| const vnl_vector<double>& vpdfl_pdf_base::variance | ( | ) | const [inline, inherited] |
| int vpdfl_pdf_base::n_dims | ( | ) | const [inline, inherited] |
| virtual int vpdfl_pdf_base::n_peaks | ( | ) | const [inline, virtual, inherited] |
| virtual const vnl_vector<double>& vpdfl_pdf_base::peak | ( | int | ) | const [inline, virtual, inherited] |
| void vpdfl_pdf_base::gradient_logp | ( | vnl_vector< double > & | g, | |
| const vnl_vector< double > & | x | |||
| ) | const [virtual, inherited] |
Gradient and value of log(p(x)) at x.
Computes gradient df/dx of f(x)=log(p(x)) at x. Result is vector of same dimensionality as x. Default baseclass implementation uses gradient() to compute grad/p
Reimplemented in vpdfl_axis_gaussian.
Definition at line 127 of file vpdfl_pdf_base.cxx.
| double vpdfl_pdf_base::log_prob_thresh | ( | double | pass_proportion | ) | const [virtual, inherited] |
Compute threshold for PDF to pass a given proportion.
Reimplemented in vpdfl_axis_gaussian, and vpdfl_gaussian.
Definition at line 40 of file vpdfl_pdf_base.cxx.
vcl_vector<vpdfl_pdf_base*> vpdfl_mixture::component_ [private] |
Definition at line 27 of file vpdfl_mixture.h.
vcl_vector<double> vpdfl_mixture::weight_ [private] |
Definition at line 28 of file vpdfl_mixture.h.
vnl_vector<double> vpdfl_mixture::ws_ [mutable, private] |
1.5.1